Measure automation value against a manual baseline

“The workflow ran in one minute” ignores review, correction and exception work. Measure the same completed task under the manual and automated process.

Include human review

The automation lab compares authored time and error records for 100 tasks.

from automation_cases import manual_baseline_case

result = manual_baseline_case()
assert result["net_minutes_saved"] == 500
assert result["baseline"]["error_rate"] == 0.06
assert result["automation"]["error_rate"] == 0.04
assert result["same_task_definition"] is True
assert result["fixture_measurements"] is True

The arithmetic includes two review minutes per automated task. It is not measured business value.

Define comparable outcomes

Specify the unit and acceptance rule: for example, one valid invoice recorded with required evidence. Sample manual handling time, wait time, rework, errors, escalation and volume across representative periods. Then instrument the automated path with the same definitions.

Include human review, corrections, exception queue, outages, platform/AI cost and maintenance. Report median and tail cycle time, accepted-task cost, critical errors and capacity. Separate labour minutes released from cash savings; saved minutes create value only if they are used productively.

Use a staged comparison or randomized allocation where feasible, accounting for traffic mix and learning effects. Document uncertainty and unintended consequences such as slower edge cases or reduced visibility.

The Generative & Agentic AI course makes value evidence part of the automation capstone.

Exercise

Observe twenty manual and twenty automated fixture tasks with identical acceptance. Calculate total touch time, errors and cost per accepted task, then explain the limits of the sample.

Continue learning

This article is part of the Business automation with AI sequence. Use the neighbouring tasks when you need the prerequisite or the next application.

• Review the prerequisite or neighbouring task in Estimate an automation's operating cost from event volume.
• Continue with Create a business-user test script for an AI workflow.

Reference: NIST AI RMF Generative AI Profile.